Introduction and Resources
09 February, 2024
Please refer to the course landing page for accessing all lecture slides and other resources related to the course.
Make sure that you have the following packages installed in R.
I am Ayush.
I am a researcher working at the intersection of data, law, development and economics.
I teach Data Science using R at Gokhale Institute of Politics and Economics
I am a RStudio (Posit) certified tidyverse Instructor.
I am a Researcher at Oxford Poverty and Human development Initiative (OPHI), at the University of Oxford.
Reach me
ayush.ap58@gmail.com
ayush.patel@gipe.ac.in
The core idea behind RStudio Projects, in their own words, is that
RStudio projects make it straightforward to divide your work into multiple contexts, each with their own working directory, workspace, history, and source documents.
.Rproj file, this serves as an anchor for other packagesGo to the the little blue menu in the top the top right corner in RStudio, click on the dropdown menu, and select “New Project”.
This will bring up a dialog box that provides a few different options. If you are going to work in a new folder, choose ‘New Directory’. If you want to work in an existing folder, select ‘Existing Directory’ and browse for the location.
Once you’ve created the project, if you have a look at the folder in Windows Explorer / Mac Finder, you’ll see your file!
dplyr and tidyverse packages.ggplot2 package.R Markdown